Respan for AI Teams

AI evaluation and observability · by Respan

Trace production behavior, run evals, and ship improvements without building observability from scratch.

What it does

Trace production behavior, run evals, and ship improvements without building observability from scratch. Purpose-built for teams shipping LLM applications.

  • LLM observability
  • Automated evaluations
  • Prompt optimization
  • AI gateway
Category
AI evaluation and observability
Users
AI startups, Enterprise AI teams, Product managers, Developers and 1 more
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Product insights

Evidence for this product in each industry and task.

#8 · evaluate ai systemsView ranking →

Documented feature

“Break down LLM spend by user, feature, model, and environment. Know which parts of your app drive 80% of the bill. Run automated evals LLM-as-judge, custom Python evaluators, and rule-based checks. Run on production traffic…”

Read product documentation
  • Break down LLM spend by user, feature, model, and environment. Know which parts of your app drive 80% of the bill. Run automated evals LLM-as-judge, custom Python evaluators, and rule-based checks. Run on production traffic…
    Read source · www.respan.ai ↗

Pricing

  • Free plan$0

Free trial on paid plans

Prices as published by Respan, checked Nov 2026.

Security and compliance

As reported by Respan. Ask for audit reports before you buy.

  • SOC 2 Type IICompliant
  • HIPAACompliant
  • ISO/IEC 27001Compliant
  • Multi-factor authentication (MFA)
  • Role-based access control (RBAC)
  • Encryption at rest (AES-256) and in transit (TLS 1.3)
  • 24/7 security monitoring and audit logging
  • Regular vulnerability assessments
  • Disaster recovery and backup procedures
  • Comprehensive activity logging
  • Data minimization
  • Automated data lifecycle management and retention policies

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